Godhra tragedy: Guj HC reduces death sentence of 11 to life term

Bengaluru, Jul 21: Leader of Opposition and former Chief Minister of Karnataka Siddaramaiah on Monday attacked the ruling government and said press conference of Health Minister B Siramulu was more like an exercise to hide facts than presenting proof with accurate data.

"Got to know about the press conference addressed by B Siramulu and Dr Ashwathnarayan CN to clear accusations of corruption. It looked more like an exercise to hide facts than presenting proof with accurate data," Siddaramaiah tweeted.

"It is still unclear about the points presented in the press conference. They have not answered any of my questions which were raised earlier. I will respond in detail once I receive the written explanation from the govt. Minister has claimed that both Health & Medical education department together have spent Rs323 Cr. But the data presented by them does not even add up to Rs100 Cr. What happened to the rest of the money?," asked Siddaramaiah.

He said that Centre has procured ventilators at Rs4 lakh per unit under PM Cares. But only in our state, the ventilators are procured at Rs12-Rs18 lakh per unit

"Prime Minister's Office has procured ventilators at Rs4 lakh per unit under PM Cares. But only in our state, the ventilators are procured at Rs12-Rs18 lakh per unit. Why do we see such a huge difference in price? Ministers, in the press conference, have told that quality & technological capabilities are the reasons for huge price difference. Does it mean ventilators under PM Cares lack quality? Why did they not present the technical specifications to justify the same?" he asked.

"Not just about the procurement of medical equipment, I had even asked data about food kits, PDS distribution, beds procured, quarantine centres & isolation wards. Where is the data for that?" he asked in a series of tweets. 

Bengaluru, Apr 13: Fifteen new positive cases of coronavirus have been confirmed in Karnataka, taking the total number of affected in the state to 247, the Health department said on Monday.

"Fifteen new positive cases have been reported from last evening to this noon.... Till date 247 COVID-19 positive cases have been confirmed. This includes 6 deaths and 59 discharges," the department said in a mid-day situation report.

Among the 15 new cases thirteen are contacts of patients already tested positive, while one from Dodabballapura in Bengaluru Rural is with a travel history to Delhi, the other from Bengaluru city has Severe Acute Respiratory Infection (SARI).

Among the 13 contact cases tested positive four are from Hubballi in Dharwad district, three each from Malavalli in Mandya district and Raibag in Belagavi, two each from Bidar, and one from Mudhol in Bagalkote district.

Three out of 15 new cases are children- a 8 year-old girl from Malavalli in Mandya, 16-year old girl from Bidar and 14-year old boy from Raibag in Belagavi.

From across the state most number of infections have been reported in Bengaluru with 77, followed by Mysuru (48) and Belagavi (17).

Those discharged include 27 patients from Bengaluru, nine from Mysuru, seven from Dakshina Kannada, six from Chikkaballapura, three from Davangere, two each from Uttara Kannada and Kalaburagi, and one each from Udupi, Dharwad and Kodagu.

Among the dead, two are from Kalaburagi and one each from Bengaluru, Bagalkote, Gadag and Tumakuru.

Bengaluru, Jun 3: The Karnataka Institute of Medical Sciences at Hubballi has successfully treated a COVID-19 patient through plasma therapy, state medical education minister K Sudhakar said today.

"Karnataka achieves yet another milestone in battle against #COVID19. KIMS Hubli has successfully treated a Covid19 patient through Plasma Therapy & is the first institute in the state to accomplish this. Congrats to KIMS doctors & staff for this feat!" Mr Sudhakar tweeted.

In plasma therapy treatment, plasma cells from a COVID-19 patient, who has recovered from the disease, is transfused to a coronavirus patient who is in critical condition to treat him.

Plasma therapy was effectively used in the past during Ebola and the Spanish flu pandemic.